🤖 AI Dev Tools

Priya's CNN Skin Scanner: 92% Accuracy from Chennai

Imagine a web app that spots skin diseases in real-time, powered by CNNs trained to 92% accuracy. Priya from Chennai just built it — and she's hunting her next gig.

theAIcatchup Apr 10, 2026 3 min read
Priya showcasing her skin disease AI classification web app on laptop

⚡ Key Takeaways

  • Priya fuses React frontends with CNN-powered AI backends for real-world health apps. 𝕏
  • 91.95% accuracy on skin disease detection via AlexNet/U-Net — deployable now. 𝕏
  • Full-stack skills (Python, Django, Git) make her the ideal AI dev hire. 𝕏
Published by

theAIcatchup

Ship faster. Build smarter.

#AI projects #CNN models #Chennai tech #React.js #React.js apps #data science intern #data science internship #deep learning #deep learning CNN #skin disease detection

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Originally reported by dev.to

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